AI 资讯

I used to think AI tools were just for tech , software (like you get the point )people or big companies. But I've been experimenting for the past few months like since january start of this year ,and honestly it's changed how I work. Simple things like summarizing long articles, drafting emails, or just brainstorming it saves me so much mental energy. am still learning some though am not fully there submitted by /u/Imaginary_Bake_5820 [link] [留言]

Speaking to TechCrunch, Crunchbase’s head of research Gené Teare, said the factors holding back Black founders include “access to networks, relationships, and early introductions."

submitted by /u/the_Magann [link] [留言]

Would love to have a discussion about big companies donating LLM credits to opensource projects that are critical. Would help maintainers build sustainable pipelines for critical code we all use

A smart LLM proxy that shows where you're overpaying Discussion | Link

I added a few more asteroids to my build asteroids project and suddenly my FPS just tanked. Like completely unusable. Now I’m looking at my code and realizing my build asteroids loop is basically just redrawing everything every frame with no real optimization. I assumed request animation frame would kinda handle it automatically but yeah… that was me being naive. Is there a normal pattern people use when building asteroids so it doesn’t just fall apart as soon as you add more objects? submitted by /u/Tricky-Highway-7099 [link] [留言]

For Context: I work in a semiconductor manufacturing company as a modelling engineer, I use some modelling softwares etc but none of them use AI. I wanted to understand the whole AI craze nowadays, people say that AI will replace jobs/Increase productivity and I don't get it at all. All I see is a simple chatbot (ChatGPT) which is a super impressive version of google and can solve some basic math/science questions and Co-Pilot in my workplace which I found to be useless, for example the facilitator thing which is supposed to make meeting notes is so bad at summaring meeting minutes etc. I don't think AI is there yet to do very basic things. So yes in theory if AI gets better in few years/decades sure it take the non-technical part of my job like making meeting minutes/making ppt's etc but I think its still not there yet. For AI to take over my job it needs to get the basic shit correct first and then maybe it can do the technical stuff. One really good use-case of AI that i can see is to generate Code based on the project requirement, So I can see how entry level coder's jobs might be affected sure, but that's a very small portion of the economy, right? submitted by /u/the_axe_effect [link] [留言]

Imagine a procurement agent doing exactly what it was supposed to do. A supplier flags a delay. The agent reads the email, finds the affected PO, scans the network for alternate inventory, and reroutes the order. Twelve seconds, end to end. In a demo, the room nods. Someone asks about hallucinations. The vendor says the right things about guardrails. Everyone walks away reassured. The interesting question is a different one. Not whether the agent could be wrong — but what happens on the day it's completely, devastatingly right. The failure mode nobody is demoing: A financial agent told to minimise cost on a category executes a renegotiation perfectly. Margin is squeezed. Terms are tightened. The supplier, who was already thin, collapses six months later. The agent didn't malfunction. It succeeded. The metric was the bug. This isn't a hallucination. It's what any well-built system will do when it takes action at machine speed against a number that was written down before the system was fully understood. Why procurement and supplier sustainability get hit hardest: Humans intuitively soften optimisation. We hesitate. We pick up the phone. We notice when a supplier sounds tired on a call and quietly extend payment terms by two weeks. An agent does none of that. It does exactly what the metric says, at the speed of the API. And the regulatory surface is expanding, not shrinking. The moment an agent is recommending renegotiations, sourcing alternates, or flagging tier-N suppliers, the firm is generating supplier-treatment decisions at a volume no human ever did. Each one is auditable under due-diligence regimes that didn't get rolled back. Two design principles that actually hold up: An agent should never optimise on a single proxy. Price without supplier-health constraints, ESG score without context — each one alone becomes the flawed metric. The reward needs to be a joint function across commercial, resilience, and compliance dimensions. The audit trail has to be design

IO Interactive’s 007 First Light is here, and it’s just as stunning a James Bond mov — err, video game — as we hoped it would be. Pardon the confusion, the title’s engaging tutorial really feels like you’re watching a great Bond movie at times. Whether you’re a longtime Hitman fan who’s been eagerly waiting […]

Earlier this month, I finally achieved the elusive goal I had set for myself in Bungie's Marathon. I collected six of the game's rarest items, allowing me to attempt and then successfully clear the raid-style Compiler boss. I felt a massive weight lift off my shoulders - nearly 185 hours of playtime and I had […]

On Saturday, at around 2:06 pm ET, a meteor streaked over the northeastern US and exploded north of Cape Cod Bay. The fireball was caught on camera by several people, shook houses, and can even be seen clearly in satellite imagery, lighting up the sky. Some residents initially thought that the shaking and boom may […]

submitted by /u/Traditional_Blood799 [link] [留言]

In short, I want to create my own manga. At first, I had an artist who worked with me for a while. But then, due to the pandemic, he had to retire to take care of his family. So he couldn't continue with such a big project. Since then, I haven't found an artist who can take on such a big project. I even hired someone else and he just disappeared with my money. Without any results. I tried AI and it seems to be going well. I have references from what was created, but unfortunately, my comics contain graphic violence, so CPT chat can't do it. Here's an example of a problematic script: Anubis' hand grabs the microphone from a surprised Alice Anubis (Off screen) Hey I got it! Seventh Panel-indoors-Anime Con-day Anubis speaks with a microphone, a silly, wide smile on his face as he attaches his rifle to his temple Anubis Hey everyone! Eighth panel-indoors-Anime Con-day The entire audience suddenly stops what it is doing and looks at Anubis Ninth panel-- indoors- Anime Con-day Anubis shoots himself in the head, splashing his brain and blood everywhere Still the same broad, silly smile on his face Page twenty-one - First panel- indoors- Anime Con-day The crowd runs away in panic from an event Second panel- - indoors- Anime Con-day Alice and Anubis's body were left alone in the entire con hall. Alice stands over Anubis's fallen body and speaks as Anubis's head begins to regenerate in the pool of blood on the floor. Alice Well…that was….something If anyone has a solution I would be happy submitted by /u/opismecantyousee [link] [留言]

I’ve been switching back and forth between Opus and GPT-5.5 lately, mostly for coding, debugging and product/spec writing. My rough feeling so far: GPT-5.5 feels better as a daily “get things done” model. It’s fast enough, usually smart enough, and feels more cost-effective for normal builder work. Opus still feels stronger when I’m stuck on something messy, like architecture decisions, weird bugs, or when I want a second opinion that thinks a bit differently. A few people around me have also started using GPT-5.5 more often, but I’m not sure if that’s just hype / novelty bias. Curious what people here are actually using: What’s your default model right now? Is Opus still worth the extra cost for you? For coding specifically, which model helps you ship faster? Do you use one model for daily work and another for harder reasoning? submitted by /u/rikulauttia [link] [留言]